基于小波生成特征符号随机场的纹理匹配与分类

A Method of Texture Matching Based on Feature Symbol Random Field Created By Wavelet

提出了一种用小波生成特征符号随机场的纹理图象分类方法。它通过一定尺度上的小波图象分解，由在最大尺度上分解生成的４个子图来生成原始图象的特征符号随机场，在此基础上产生共生矩阵，进而获取原始图象的纹理特征向量。然后，用两个特征向量的距离作为判别标准，对纹理图象进行快速分类。

This paper gives a method of texture matching based on feature symbol random field created by wavelet. On the image wavelet decomposition on some scale,we use the four subimages of the last decomposition to create the feature symbol random field through vector quatization.Based on the FSRF,we make cooccurence of the FSRF,then get the feature vector of the original images.At last,according to distance,we can fast match two texture image.